Generative AI Resource Roundup #2
Technologists and economists alike are seeing the incredible bottom-line potential of generative AI. Yet, how best to implement and how these predictions manifest remains to be seen.
Learn everything you need to know about generative AI in 5 minutes or less.
Generative AI to Become a $1.3 Trillion Market by 2032, Research Finds | Bloomberg
Bloomberg Intelligence (BI) estimates that the generative AI market is poised to explode, growing to $1.3 trillion over the next 10 years from a market size of just $40 billion in 2022.
AI-powered marketing and sales reach new heights with generative AI | McKinsey
Generative AI promises to disrupt the way B2B and B2C players think about customer experience, productivity, and growth. Gen AI coupled with company-specific data and context has enabled hyper-personalization in sales offerings and marketing.
Generative AI Is Exploding. These Are The Most Important Trends You Need To Know | Forbes
Four trends in this year’s list:
- Generative AI Infrastructure: OpenAI made a big splash last year with the launch of ChatGPT. But their big bet on scale and a technique called Reinforcement Learning with Human Feedback (RLHF) is only one of many directions LLMs are taking
- Predictive Infrastructure: Investors are focusing on infrastructure companies that host the massive amounts of data needed for enterprise AI applications in a format that facilitates all sorts of data pipelines.
- Generative AI Applications: Applications such as ChatGPT, the famous all-knowing chatbot. Midjourney and Stable Diffusion with their spotlight on social media for image generation. Jasper, which uses GPT-4 to help marketing copywriters, and Writer. Tome, generates beautiful presentations, etc. Are expected to see a rise
- Predictive AI applications: Another useful way to use AI’s predictive power is to detect anomalies and then find ways to mitigate them. Such as Viz.ai which quickly surfaces patient imaging that should be reviewed by a specialist, and coordinates the care team to improve outcomes for patients with stroke and other time-sensitive conditions.
Google’s Generative AI Platform Is Now Available To Everyone | Forbes
Google announced the general availability of generative AI services based on Vertex AI, the machine learning platform as a service (ML PaaS) offering from Google Cloud. This release will give customers access to their latest platform capabilities for building and powering custom generative AI applications.
Adobe Announces ‘Generative Recolor’ AI Feature For Adobe Illustrator | Forbes
Adobe is going “all-in” on generative AI with a new set of generative AI tools in Adobe Illustrator. Follow the “Generative Fill” feature out in late May for Photoshop. Dubbed Generative Recolor, the tool, which aims to help users refresh colors and fonts of a design quickly, is the latest addition to Adobe’s cluster of generative AI tools and models under the umbrella of Firefly.
The future of generative AI is niche, not generalized | MIT Technology Review
ChatGPT has sparked speculation about artificial general intelligence. But the next real phase of AI will be in specific domains and contexts. An example of this is GitHub Copilot – an AI being used by software developers in very specific contexts to solve problems.
Salesforce Announces AI Cloud – Bringing Trusted Generative AI to the Enterprise | Salesforce
AI Cloud is the fastest and most trusted way for Salesforce customers to supercharge their customer experiences and company productivity with generative AI for the enterprise. At the heart of AI Cloud is Einstein, the world’s first AI for CRM. With generative AI, Einstein helps make every company and employee more productive and efficient across sales, service, marketing, and commerce.
For those interested in diving deeper into the world of AI, including the latest developments and how they impact various industries, our Artificial Intelligence blog category is the place to be. From in-depth recaps of industry webinars to the latest trends and insights, our content offers valuable resources for anyone keen on understanding and leveraging AI technologies.
The Generative AI TLDR
“We will know that generative AI is succeeding when we stop noticing it and the pronouncements about what it might do die down. In fact, we should be willing to accept that its success might actually look quite prosaic. This shouldn’t matter, of course; once we’ve realized it doesn’t know everything — and never will — that will be when it starts to become really useful.”
– The future of generative AI is niche, not generalized | MIT Technology Review
That’s all for this week! Stay tuned for more roundups on a biweekly basis.
